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Found 4 papers, 1 papers with code
Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions
In our analysis of the results, we found that the choice of imputation method significantly impacts soft label changes and distribution.
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
Particularly, we extract disagreement labels from the annotators' voting histories in the five subjective datasets, and then fine-tune language models to predict annotators' disagreement.
A Conversational Agent System for Dietary Supplements Use
Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effectively.
Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: A scoping review
Keywords: Social and Behavioral Determinants of Health, Artificial Intelligence, Electronic Health Records, Natural Language Processing, Predictive Model
